This paper investigates the global exponential robust stability of reaction-diffusion Hopfield neural networks with S-type distributed delays.By means of the topological degree theory and Lyapunov function method
easily verifiable sufficient conditions to guarantee the exponential robust stability of an equilibrium solution are obtained.The results are new and helpful for designs and applications of neural networks.